EP2477613B1 - Dispositifs, systèmes et procédés pour quantifier des doses de bolus en fonction de paramètres d'utilisateur - Google Patents

Dispositifs, systèmes et procédés pour quantifier des doses de bolus en fonction de paramètres d'utilisateur Download PDF

Info

Publication number
EP2477613B1
EP2477613B1 EP10816796.6A EP10816796A EP2477613B1 EP 2477613 B1 EP2477613 B1 EP 2477613B1 EP 10816796 A EP10816796 A EP 10816796A EP 2477613 B1 EP2477613 B1 EP 2477613B1
Authority
EP
European Patent Office
Prior art keywords
user
bolus dose
trend
level
multiplier
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
EP10816796.6A
Other languages
German (de)
English (en)
Other versions
EP2477613A1 (fr
EP2477613A4 (fr
Inventor
Ofer Yodfat
Gali Shapira
Iddo M. Gescheit
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
F Hoffmann La Roche AG
Roche Diabetes Care GmbH
Original Assignee
F Hoffmann La Roche AG
Roche Diabetes Care GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by F Hoffmann La Roche AG, Roche Diabetes Care GmbH filed Critical F Hoffmann La Roche AG
Publication of EP2477613A1 publication Critical patent/EP2477613A1/fr
Publication of EP2477613A4 publication Critical patent/EP2477613A4/fr
Application granted granted Critical
Publication of EP2477613B1 publication Critical patent/EP2477613B1/fr
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
    • A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
    • A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
    • A61M5/16804—Flow controllers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
    • A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
    • A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
    • A61M5/172—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body electrical or electronic
    • A61M5/1723—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body electrical or electronic using feedback of body parameters, e.g. blood-sugar, pressure
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
    • A61B5/4839—Diagnosis combined with treatment in closed-loop systems or methods combined with drug delivery
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
    • A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
    • A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
    • A61M5/16877—Adjusting flow; Devices for setting a flow rate
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G16H20/17—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M2230/00—Measuring parameters of the user
    • A61M2230/20—Blood composition characteristics
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M2230/00—Measuring parameters of the user
    • A61M2230/20—Blood composition characteristics
    • A61M2230/201—Glucose concentration
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M2230/00—Measuring parameters of the user
    • A61M2230/20—Blood composition characteristics
    • A61M2230/208—Blood composition characteristics pH-value

Definitions

  • Some embodiments specifically relate to portable infusion devices with at least one processor including instructions operating thereon for quantifying bolus doses. Some embodiments more specifically relate to insulin dispensing systems for recommending a new bolus dose by adjusting an original bolus dose by a certain magnitude according to one or more user parameters.
  • therapeutic fluids e.g., insulin
  • Diabetes mellitus is a disease of major global importance, increasing in frequency at almost epidemic rates, such that the worldwide prevalence in 2006 is 170 million people and predicted to at least double over the next 10-15 years. Diabetes is characterized by a chronically-raised blood glucose concentration (hyperglycemia) due to a relative or absolute lack of the pancreatic hormone, insulin.
  • hypoglycemia a chronically-raised blood glucose concentration due to a relative or absolute lack of the pancreatic hormone, insulin.
  • beta cells located in the islets of Langerhans, continuously produce and secrete insulin according to blood glucose concentrations ("BG levels”), maintaining near-constant glucose levels in the body.
  • BG levels blood glucose concentrations
  • TDD insulin total daily dose
  • Basal insulin is delivered continuously over 24 hours and is intended to keep the BG levels within acceptable ranges between meal times and overnight.
  • Bolus doses may be delivered during episodes of high BG levels (e.g., a "correction bolus” or “CB”) or, when delivered before, during or after meals to counteract carbohydrate loads (e.g., a "meal bolus” or "MB”).
  • CB correction bolus
  • MB meal bolus
  • Conventional parameters used for determining bolus doses include without limitation at least one of the following:
  • glycemic index e.g., glycemic index
  • different units can be used, for example “mmol” instead of “mg/dL”.
  • Conventional insulin pumps may provide bolus dose recommendations based on one or more of the above-listed parameters.
  • an MB dose may be calculated by dividing the amount of carbohydrates by the CIR.
  • bolus selector feature As comprising sets of grids of ranges of carbohydrate amounts and blood glucose concentrations, wherein each grid may correspond to a different combination of IS, CIR and/or TBG, according to some embodiments.
  • additional grids may correspond to selected bolus doses and RI values.
  • the final recommended bolus dose may be related to a value that is substantially equivalent to the selected bolus dose minus the RI.
  • CGMs continuous glucose monitors
  • BG trends the direction and rate of change of BG level
  • the abovementioned general formula for determining a recommended bolus dose does not take into account numerous rapidly-changing parameters or physiological conditions (such as without limitation BG trends, physical activity levels (e.g ., exercise or sedentary state), illness (e.g., high temperature) or emotional stress) that may influence or otherwise substantially modify the recommended bolus dose determination.
  • rapidly-changing blood-related parameters including without limitation, BG levels, ketones, PH levels or blood gases, may also influence or otherwise substantially modify the recommended bolus dose.
  • the same 5U of insulin may have a substantially different effect on a person when he or she is exercising as compared to when that person is sleeping.
  • BG level is one of the most important rapidly-changeable parameters
  • the abovementioned formula only considers the current BG level (i.e., a discrete value) and not BG trends and other user-specific parameters, including those identified above. For example, if a high discrete BG level is measured, the formula recommends delivering a large bolus dose to bring the user's BG levels back to TBG. In situations where consecutive BG level measurements are consistently high (i.e., BG level is substantially constant), such a recommended bolus dose may be appropriate. However, if the high-measured BG is increasing or decreasing, a relatively higher or lower bolus dose may be more properly recommended.
  • US2003/0060753 discloses a fluid delivery system for delivering a bolus dose of therapeutic fluid into the body of a user, the system comprising: a pump for delivering therapeutic fluid into the body; and at least one processor including instructions operating thereon, the processor being configured to: receive a current blood glucose level (CBG) of the user; receive a BG trend of the user, including a direction and/or rate of change of blood glucose level (BG) of the user; receive one or more first additional parameters relating to the user; receive one or more second additional parameters relating to the user, such as physical activity level or illness; and determine a bolus dose based on the CBG, the BG trend, the one or more first additional parameters relating to the user and the one or more second additional parameters, such that delivering the bolus dose to the user compensates for a change in
  • CBG current blood glucose level
  • BG blood glucose level
  • a fluid delivery system as defined in appended claim 1.
  • Embodiments of the invention are defined in appended claims dependent on claim 1.
  • Devices, systems and methods for delivering therapeutic fluid (e.g., insulin) and determining a recommended amount based on one or more user parameters are provided herein.
  • the mechanism or feature for determining a recommended bolus dose amount based on one or more user parameters may be referred to as the "bolus advisor.”
  • the bolus advisor may be configured to operate within or in conjunction with a fluid dispensing system.
  • the bolus advisor may be implemented in a fluid dispensing unit and, in particular, in a portable therapeutic fluid infusion pump.
  • Some arrangements of the present disclosure may be directed to a method for determining a bolus dose of therapeutic fluid to be delivered to the body of a user.
  • the method may include receiving a CBG of the user, receiving a BG trend of the user, receiving one or more first additional parameters relating to the user and/or determining a bolus dose based on at least one of the CBG, the BG trend and the one or more first additional parameters relating to the user, such that delivering the bolus dose to the user may compensate for a change in a BG level of the user.
  • the one or more first additional parameters relating to the user may be selected from a group consisting of IS, CIR, TBG, TC and RI. In some arrangements the one or more first additional parameters relating to the user may be further selected from a group consisting of GI, fat content of a meal and fiber content of the meal.
  • the CBG may be measured using a CGM and/or the BG trend may be received from a CGM.
  • Some method arrangements may involve at least one of the one or more first additional parameters relating to the user, the CBG and the BG trend being received via a user interface.
  • Some arrangements may also include notifying the user, for example, regarding the bolus dose and/or delivering the therapeutic fluid according to the bolus dose.
  • the therapeutic fluid may be insulin.
  • Some arrangements may also include delivering the therapeutic fluid according to the bolus dose.
  • Some method arrangements may also include determining an initial bolus dose for the user based on at least one of the one or more first additional parameters relating to the user and the CBG and determining the bolus dose based on the initial bolus dose and the BG trend.
  • the bolus dose may be less than the initial bolus dose if the BG trend is decreasing, greater than the initial bolus dose if the BG trend is increasing and/or substantially equal the initial bolus dose if the BG level of the user is substantially constant.
  • increasing may include moderate increasing (e.g ., going up) or steep increasing ( e.g., quickly rising).
  • Decreasing may include moderate decreasing ( e.g., going down) or steep decreasing ( e.g ., falling quickly).
  • delivering the bolus dose to the user may compensate for a rate of the change in the BG level of the user.
  • methods for determining a bolus dose of therapeutic fluid to be delivered to the body of a user may include determining an initial bolus dose based on at least one of the one or more first additional parameters relating to the user and the CBG and/or determining the bolus dose based on the initial bolus dose and one or more multiplier values. Some arrangements may involve determining the bolus dose by multiplying the initial bolus dose by the one or more multiplier values.
  • the one or more multiplier values may be greater than 1 when the BG trend is increasing, less than 1 when the BG trend is decreasing and/or substantially equal to 1 when the BG level is substantially constant.
  • Some method arrangements may further include retrieving, from a memory, one or more multiplier values correlating to the BG trend.
  • the one or more multiplier values may be determined based on a mathematical function that correlates the BG trend with the one or more multiplier values, according to some arrangements.
  • Arrangements of the methods may include any of the features described in the present disclosure, including without limitation any one or more of the methods and systems, as well as any one or more of the above and/or following features.
  • the methods may include averaging a plurality of the one or more multiplier values, wherein at least one of the one or more multiplier values correlates to the BG trend and determining the bolus dose includes determining the bolus dose based on the initial bolus dose and the average of the plurality of the one or more multiplier values.
  • Some method arrangements for determining the bolus dose may also include determining an initial bolus dose based on at least one of the one or more first additional parameters relating to the user and the CBG and determining a bolus dose based on the initial bolus dose and one or more absolute values.
  • determining the bolus dose may include adding or subtracting the one or more absolute values to or from the initial bolus dose.
  • the one or more absolute values may be added when the BG trend is increasing, subtracted when the BG trend is decreasing and/or substantially equal to 0 when the BG level is substantially constant.
  • methods may include retrieving, from a memory, one or more absolute values corresponding to the BG trend.
  • the one or more absolute values may also be determined based on a mathematical function that correlates the BG trend with the one or more absolute values, according to some arrangements.
  • Arrangements of the methods may include any of the features described in the present disclosure, including without limitation any one or more of the methods and systems, as well as any one or more of the above and/or following features.
  • Some method arrangements for determining a bolus dose of therapeutic fluid to be delivered to the body of a user may further be directed to receiving one or more second additional parameters relating to the user, where the one or more second additional parameters may be selected from the group consisting of physical activity level, emotional stress level, blood ketones level and/or trend, blood pH level and/or trend, presence of an illness and/or menstruation and body temperature.
  • Such method arrangements may also include determining a bolus dose that compensates for a change in the BG level of the user and/or the one or more second additional parameters relating to the user.
  • Some arrangements may also include adjusting a timing and/or duration associated with the bolus dose based on at least the BG trend.
  • Some method arrangements may be directed to determining a recommended bolus dose of therapeutic fluid for delivery to the body and may include determining an initial bolus dose for a user based on one or more first parameters relating to the user, inputting one or more second parameters relating to the user, correlating a multiplier value with at least one of the one or more second parameters and/or deriving a recommended bolus dose by multiplying the initial bolus dose by the multiplier value of at least one of the one or more second parameters.
  • determining a recommended bolus dose may include determining an initial bolus dose for a user based on one or more first parameters relating to the user, inputting one or more second parameters relating to the user, correlating a multiplier value with at least one of the one or more second parameters and deriving a recommended bolus dose by multiplying the initial bolus dose by the multiplier value of at least one of the one or more second parameters.
  • methods for recommending a bolus dose in accordance with a BG trend for use with an insulin delivery device may include providing a non-BG trend dependent bolus dose, receiving a BG trend, correlating the BG trend with one or more multiplier values and/or absolute values, multiplying the multiplier value with the non-BG trend dependent bolus dose and/or adding or subtracting the absolute value from the non-BG trend dependent bolus dose to obtain the BG trend dependent bolus dose and recommending an appropriate insulin dosage in accordance with the BG trend.
  • System embodiments of the present disclosure are directed to a fluid delivery system for delivering a recommended bolus dose of therapeutic fluid into the body and having a dispensing unit and, in some embodiments, a remote control unit.
  • the system includes a pump for delivering therapeutic fluid into the body and at least one processor including instructions operating thereon.
  • the processor is configured to receive a CBG of the user, a BG trend of the user and one or more first additional parameters relating to the user.
  • the processor determines a bolus dose based on at least one of the CBG, the BG trend and the one or more first additional parameters relating to the user, such that delivering the bolus dose to the user compensates for a change in a BG level of the user.
  • the one or more first additional parameters relating to the user may be selected from a group consisting of IS, CIR, TBG, TC and RI. In some embodiments, the one or more first additional parameters relating to the user may be further selected from a group consisting of GI, fat content of a meal and fiber content of the meal.
  • the processor may also include instructions configured to deliver the therapeutic fluid according to the bolus dose.
  • the recommended bolus dose may be delivered to the user upon confirmation received via a user interface.
  • a CGM may be used for measuring the CBG and/or transmitting the BG trend.
  • Some embodiments may include notification means for notifying the user, for example, regarding the bolus dose.
  • the therapeutic fluid may be insulin.
  • Some system embodiments may further include a user interface for inputting at least one of the one or more first additional parameters relating to the user, the CBG and the BG trend.
  • the processor has instructions configured to determine an initial bolus dose based on at least one of the one or more first additional parameters relating to the user and the CBG and/or determine the bolus dose based on the initial bolus dose and one or more multiplier values.
  • the processor includes instructions configured to multiply the initial bolus dose by the one or more multiplier values. In some system embodiments the processor may determine the bolus dose based on the result of the multiplication.
  • the one or more multiplier values may be greater than 1 when the BG trend is increasing, less than 1 when the BG trend is decreasing and/or substantially equal to 1 when the BG level of the user is substantially constant.
  • increasing may include moderate increasing (e.g ., going up) or steep increasing ( e.g., quickly rising).
  • Decreasing may include moderate decreasing ( e.g., going down) or steep decreasing ( e.g ., falling quickly).
  • the system may further include a memory storing the one or more multiplier values correlating to the BG trend.
  • the processor may have instructions configured to retrieve from the memory the one or more multiplier values.
  • the one or more multiplier values may be determined based on a mathematical function that correlates the BG trend with the one or more multiplier values.
  • the processor may include instructions configured to average a plurality of the one or more multiplier values, with at least one of the one or multiplier values correlating to the BG trend.
  • the processor may also determine the bolus dose based on the initial bolus dose and the averaged multiplier values.
  • Embodiments of the systems may include any of the features described in the present disclosure, including any of the features described above in relation to the methods as well as any one or more of the above and/or following features.
  • the processor includes instructions configured to determine an initial bolus dose of therapeutic fluid based on at least one of the one or more first additional parameters relating to the user and the CBG.
  • one or more absolute values may be added when the BG trend is increasing, subtracted when the BG trend is decreasing and/or substantially equal to 0 when the BG level of the user is substantially constant.
  • the system may further include a memory storing the one or more absolute values correlating to the BG trend.
  • the processor may have instructions configured to retrieve from the memory the one or more absolute values.
  • the one or more absolute values may be determined based on a mathematical function that correlates the BG trend with the one or more absolute values.
  • Embodiments of the systems may include any of the features described in the present disclosure, including any of the features described above in relation to the methods as well as any one or more of the above and/or following features.
  • the processor includes instructions configured to receive one or more second additional parameters relating to the user, the one or more second additional parameters being selected from the group consisting of physical activity level, emotional stress level, blood ketones level and/or trend, blood pH level and/or trend, presence of an illness and/or menstruation and body temperature.
  • the processor determines a bolus dose that compensates for a change in the BG levels of the user and the one or more second additional parameters.
  • the processor may include instructions configured to adjust a timing and/or duration associated with the bolus dose based on at least the BG trend. In some embodiments determining the bolus dose may be based on at least one of the one or more first additional parameters relating to the user and the CBG. Adjusting the timing and/or duration associated with the bolus dose may be based on at least the BG trend.
  • the processor has instructions configured to determine an initial bolus dose for the user based on at least one of the one or more first additional parameters relating to the user and the CBG and determine the bolus dose based on the initial bolus dose and the BG trend.
  • the bolus dose may be less than the initial bolus dose if the BG trend is decreasing, greater than the initial bolus dose if the BG trend is increasing and substantially equal to the initial bolus dose if the BG level of the user is substantially constant.
  • Some system arrangements may also involve delivering the bolus dose to the user to compensate for a rate of the change in the BG level of the user.
  • Some system embodiments may include a display for presenting the recommended bolus dose of the therapeutic fluid to the user.
  • the display may be located on the dispensing unit and/or on a remote control.
  • Some system embodiments may include a memory for storing one or more of: the one or more parameters relating to the user, a database of the BG trends and corresponding multiplier values, mathematical function that correlates the BG trends and multiplier values, a database of the BG trends and corresponding absolute values, and mathematical function that correlates the BG trends and absolute values.
  • Some system embodiments may be directed to a fluid delivery system for delivering a recommended bolus dose of therapeutic fluid into the body and include a fluid dispensing unit and, in some embodiments, a remote control unit configured for inputting the one or more first parameters and one or more second parameters into the fluid dispensing unit.
  • the fluid dispensing unit may include, according to some embodiments, at least one processor having instructions operating thereon for assessing and/or storing in memory user-related parameters.
  • the instructions may be configured to receive input related to an initial bolus dose of therapeutic fluid for a user or receive one or more first parameters relating to the user to quantify an initial bolus dose, receive one or more second parameters relating to the user, assess the one or more second parameters, assign a correlating multiplier value to at least one of the one or more second parameters and derive a recommended bolus dose of therapeutic fluid.
  • deriving a recommended bolus dose may include multiplying the initial bolus dose by the multiplier value of at least one of the one or more second parameters.
  • the system may include a display for presenting the recommended bolus dose of therapeutic fluid to the user and a dispensing mechanism for delivering the recommended bolus dose of therapeutic fluid into the body.
  • Embodiments of the systems may include any of the features described in the present disclosure, including any of the features described above in relation to the methods as well as any one or more of the above and/or following features.
  • the device may include at least one processor including instructions operating thereon for assessing and storing in memory user-related parameters.
  • the processor may be configured to receive input related to an initial bolus dose of therapeutic fluid for a user or one or more first parameters relating to the user to quantify an initial bolus dose.
  • the processor may receive one or more second parameters relating to the user, assess the one or more second parameters, assign a correlating multiplier value to at least one of the one or more second parameters and derive a recommended bolus dose of therapeutic fluid by multiplying the initial bolus dose by the multiplier value of at least one of the one or more second parameters.
  • the dispensing unit may have a display for presenting the recommended bolus dose of therapeutic fluid to the user and/or a dispensing mechanism for delivering the recommended bolus dose of therapeutic fluid into the body.
  • Some device arrangements of the present disclosure may be directed to a drug delivery device having a dispensing mechanism, a processor for providing a bolus dose recommendation based on current trend of user physiologic parameters or current physiological conditions, a display for presenting a recommendation of the appropriate insulin bolus dosage and input means to execute the bolus dose recommendation.
  • the bolus dose recommendation may be determined in accordance with one or more of the BG trend, physical activity level, emotional stress level, blood ketones level and/or trend, the blood pH level and/or trend, the presence of an illness and/or menstruation or body temperature.
  • Arrangements of the devices may include any of the features described in the present disclosure, including any of the features described above in relation to the methods, systems and devices, as well as any one or more of the above and/or following features.
  • Some device arrangements may be directed to an insulin delivery device coupled with a continuous glucose monitor and having a dispensing mechanism, a processor providing a bolus dose recommendation based on the BG trend derived from the continuous glucose measurements.
  • the device may further include a display presenting a recommendation of the appropriate insulin bolus dosage and/or input means to execute the bolus dose recommendation.
  • Arrangements of the devices may include any of the features described in the present disclosure, including any of the features described above in relation to the methods, systems and devices, as well as any one or more of the above and/or following features.
  • a user and/or caregiver may assign different multiplier values (MVs) and/or absolute values (AVs) to each parameter when initially setting up and/or programming certain device and system embodiments of the present disclosure, e.g ., a therapeutic fluid delivery pump.
  • multiplier values (MVs) and/or absolute values (AVs) assigned to each parameter may be recommended based on IS values. For example, a user with a high and low IS value may be provided with small and large bolus doses, respectively, in response to changing BG levels.
  • systems of the present disclosure may include a remotely-controlled dispensing unit having a reusable part and a disposable part.
  • the disposable part may contain a reservoir, an outlet port and other inexpensive components.
  • the reusable part may contain electronics (e.g ., a printed circuit board and/or a processor), driving mechanism and other relatively expensive components.
  • the dispensing unit may deliver therapeutic fluid to the body, which may be carried out manually by operating one or more switches or buttons located on a dispensing unit.
  • a cradle unit may be provided with the dispensing unit.
  • the cradle unit may be a substantially flat sheet that adheres to the skin and allows disconnection and reconnection of the dispensing unit from and to the user's skin at the user's discretion.
  • a cannula for delivery of fluid therapeutic fluid e.g ., insulin
  • a subcutaneous portion of the body through a dedicated passageway in the cradle unit.
  • fluid therapeutic fluid e.g ., insulin
  • Some arrangements of the dispensing unit may be configured as a patch-like unit for discreet positioning on the body.
  • bolus advisor The mechanism or feature for determining a recommended bolus dose based on one or more user parameters (e.g ., variables or conditions) may be referred to as the "bolus advisor.”
  • the bolus advisor may be configured to operate within or in conjunction with a fluid dispensing system.
  • the bolus advisor may be implemented in a fluid dispensing unit and, in particular, in a portable therapeutic fluid infusion pump.
  • dispenser delivery
  • infusion are used herein interchangeably to refer to the administration or distribution of a substance into the body.
  • the system may include a user interface configured for receiving input from a user (also referred to as "patient"), including without limitation initial bolus dose amounts and/or one or more user parameters, a memory configured to store data, including some or all of a user's input, and a processor or controller (e.g., a CPU or MCU) configured to determine the bolus dose amounts to be delivered.
  • a processor or controller e.g., a CPU or MCU
  • Some embodiments may further include a real time clock (“RTC").
  • the system may include a display (e.g ., screen) for providing a representation (e.g ., visual indication) of one or more parameters, for example, indicating increases or decreases in BG levels using arrows.
  • the system may be a remotely-controlled, and may be also securable to the skin (e.g., a patch pump adherable to the skin of the patient).
  • the system may further include a remote control unit.
  • Some embodiments of the system may also include an analyte sensing device (e.g. , glucometer, a glucose monitor).
  • the sensing device may be located in the remote control unit, in a dispensing component of the system, shared in both, or located in another component of the system.
  • the sensing device may include a CGM.
  • the CGM may be located in a dispensing component of the system.
  • Embodiments of the present disclosure may be configured to determine an initial bolus dose (also interchangeably referred to throughout this disclosure as an "original bolus dose”) and adjust that amount to a recommended bolus dose.
  • determining the original bolus dose may be based on one or more user parameters, including without limitation, one or more of IS, CIR, TBG, TC, RI, glycemic index ("GI”), fat content and CBG.
  • adjusting the original bolus dose to a recommended bolus dose may be based on user parameters which may include without limitation BG trends (as provided by a CGM or any other suitable means for assessing BG levels), physical activity levels, illness, body temperature, menstruation, emotional stress, blood ketones and blood gases (e.g., O 2 saturation). Any one or more of these parameters may be assigned a multiplier value ("MV") that represents the magnitude of that parameter on a relative scale.
  • BG trends as provided by a CGM or any other suitable means for assessing BG levels
  • physical activity levels illness, body temperature, menstruation, emotional stress, blood ketones and blood gases (e.g., O 2 saturation).
  • MV multiplier value
  • Embodiments of the present disclosure may thus be configured to recommend a bolus dose by multiplying the original bolus dose amount by the multiplier values (MVs) of a given number of user parameters.
  • MVs multiplier values
  • the MVs may be determined, for example, by matching tables and/or mathematical correlation or calculation.
  • the MVs may be represented as fractions, percentages, or any other mathematical presentation.
  • an absolute value may be assigned to any one or more of these parameters, which may be added to or subtracted from the original bolus dose to determine a recommended bolus dose.
  • the AV may be determined, for example, by matching tables and/or mathematical correlation or calculation.
  • an initial bolus dose of 8U may be calculated based on relevant user parameters, as follows:
  • a recommended bolus dose may then be derived based on one or more additional parameters input into the dispensing unit and/or system by the user by assigning a multiplier value (MV) to each additional parameter to correlate each parameter to a relative magnitude.
  • MV multiplier value
  • a physical activity level parameter may be assigned an MV of 0.8 and a BG trend parameter may be assigned an MV of 1.2.
  • Other mathematical relationships between the MVs may be used.
  • the multiplier values (MVs) may be related to other user-specific parameters, such as a medical condition, blood chemistry or any other clinically-relevant parameter.
  • a user may enter specific parameters (e.g., physical activity level) and, accordingly, the bolus dose may be modified by multiplying the initial bolus dose by the one or more multiplier values (MVs).
  • MVs multiplier values
  • a physical activity level of a user may be divided into four levels, with each level being represented by a multiplier value (MV) as follows:
  • the multiplier value (MV) when the physical activity level is high, the multiplier value (MV) may be less than 1, indicating that a smaller bolus dose is required, and when the physical activity level is low, the multiplier value (MV) may be greater than 1, indicating that a larger is required.
  • the bolus advisor may then calculate a recommended a bolus dose by multiplying the MV of the physical activity level by the initial bolus dose.
  • a recommended bolus dose may be calculated using one or more of the abovementioned parameters and associated MVs.
  • the following equation may be used, in which the influence of all MVs is averaged:
  • Recommended Bolus Dose Original Bolus Dose * MV 1 + MV 2 + ... + MV n / n , wherein n is the number of parameters included in the calculation.
  • the "Original Bolus Dose" in the formula represents the bolus dose as provided by a known formula, for example. A numerical example is provided below.
  • the MVs may represent the relative change in the original bolus dose corresponding to each parameter. For example, an MV of 1.3 indicates an addition of 30% to the original bolus dose, and an MV of 0.7 indicates a deduction of 30% from the original bolus dose.
  • the relative changes e.g., the additional 30%
  • the relative changes may be summed up, then added to 1 and the result may multiply the original bolus dose.
  • FIGS. 1a-1c show a fluid delivery system 1000 for dispensing therapeutic fluids (e.g ., insulin) into the body of a patient according to some embodiments of the present disclosure.
  • therapeutic fluids e.g ., insulin
  • Some embodiments of the system 1000 may include a dispensing unit 1010 having a dispensing mechanism (e.g ., syringe with a propelling piston, peristaltic), a remote control unit 1008 and may also include a glucose monitor 90 (e.g ., a blood glucose monitor "BGM").
  • the dispensing unit 1010 may be connected to a cannula 6 that penetrates a patient's skin 5 to deliver therapeutic fluid (e.g., insulin) into the body (e.g., subcutaneous tissue).
  • the dispensing unit 1010 may be a single component having a single housing 1003 (as shown in FIGS.
  • housing 1001 maybe reusable and housing 1002 (or part 2) may be disposable.
  • the reusable part 1 may include relatively expensive components, such as electronics, a processor, at least a portion of a driving mechanism, sensors, motors and various other components.
  • the disposable part 2 may include relatively less expensive components, such as a reservoir for containing therapeutic fluid (e.g ., insulin), a connecting tube for delivering therapeutic fluid, and a piston and/or plunger assembly for pumping fluid from the reservoir into the body, and the like.
  • a power supply e.g., one or more batteries
  • the power supply may be rechargeable or non-rechargeable.
  • the disposable part may also be configured with a portion of the driving mechanism, such that the driving mechanism would be shared, under those circumstances, by both parts (the disposable and the reusable).
  • flow programming and data acquisition may be accomplished using remote control unit 1008 or directly by one or more operating buttons and/or switches 1004 located on the dispensing unit 1010.
  • Some embodiments of the system 1000 may include at least one processor or controller, at least one memory, at least one input means (e.g., a keypad, keys, mouse, buttons, switches, touch-screen or audio/voice commander), at least one screen or display and at least one notification means.
  • the notification means may include without limitation audible means (e.g., a buzzer) and/or vibrational means (e.g., a vibrator) to notify the user.
  • audible means e.g., a buzzer
  • vibrational means e.g., a vibrator
  • Embodiments of the remote control unit 1008 may be implemented, for example in one of a Personal Data Assistance ("PDA"), a cellular phone, a watch, a media player (e.g., an iPod), a smartphone ( e.g ., an iPhone or Android devices), a laptop, an iPad and/or a PC.
  • PDA Personal Data Assistance
  • Example embodiments of system 1000 are disclosed in U.S. Patent Application Publication No. 2007/0106218 to Yodfat et al. and International Publication No. WO 2009/125398 to Yodfat et al.
  • the system 1000 may include at least one of a BGM, CGM or both.
  • the BGM and/or CGM may be contained within the remote control unit 1008 and/or the dispensing unit 1010, and/or another component of the system.
  • the BGM and/or CGM may be contained in a separate unit configured to establish one- or two-way communication (e.g ., wireless, RF or IR induction) with the dispensing unit 1010 and/or the remote control unit 1008.
  • the glucose monitor may be shared between a plurality of units/part/components of the system.
  • a CGM contained within the dispensing unit 1010 may be positioned within the reusable part of the unit 1010, the disposable part of the unit 1010 or both.
  • Some embodiments may include a sensing element (e.g ., an electrochemical sensor or one or more electrodes) disposed on the cannula 6.
  • a sensing element e.g ., an electrochemical sensor or one or more electrodes
  • Example embodiments are disclosed in U.S. Patent Application Publication Nos. 2007/0191702 to Yodfat et al. and 2008/0214916 to Yodfat et al. , as well as International Publication No. WO 2009/066288 to Yodfat et al.
  • a bolus advisor 10 may be located in the dispensing unit 1010 ( see FIG. 1a ), the remote control unit 1008 ( see FIGS. 1b and 1c ) or within both units (1010 and 1008).
  • the bolus advisor 10 may be implemented in another component of the system, such as
  • FIGS. 2a and 2b show a system 1000, according to some embodiments of the present disclosure, having a two-part dispensing unit 1010, a remote control unit 1008 and a CGM unit 1007.
  • the two-part dispensing unit 1010 may include housings 1001 and 1002.
  • housing 1001 or part 1 maybe reusable and a housing 1002 (or part 2) may be disposable.
  • the dispensing unit 1010 may contain a dispensing mechanism 1005 that may be positioned within either or both of housing 1001 and housing 1002.
  • the bolus advisor 10 may be included within the remote control unit 1008 ( see FIG. 2a ), dispensing unit 1010 ( see FIG. 1a ) or both.
  • FIG. 2a specifically shows a system embodiment having a two-part dispensing unit 1010 and a stand-alone CGM unit 1007.
  • the CGM unit 1007 may have a probe 66 and a sensing mechanism 1006.
  • Embodiments of the sensing mechanism 1006 may include without limitation a processor, a transmitter and a memory. According to some embodiments of the present disclosure, continuous glucose readings obtained by the CGM unit 1007 may be transmitted to the remote control unit 1008 and/or the dispensing unit 1010, as indicated by the arrows shown in FIG. 2a .
  • FIG. 2b specifically shows a system embodiment having two-part dispensing unit 1010 that includes a dispensing mechanism 1005 and an onboard CGM unit (not shown).
  • the CGM unit may have a probe 66 and a sensing mechanism 1006.
  • the dispensing mechanism 1005 may deliver therapeutic fluid (e.g ., insulin) through a cannula 6 and the sensing mechanism 1006 may obtain continuous glucose readings using probe 66.
  • probe 66 may be located within or on the cannula 6, as described in U.S. Patent Application Publication Nos. 2007/0191702 to Yodfat et al. and 2008/0214916 to Yodfat et al. , and International Publication No. WO 2008/078319 to Yodfat et al.
  • the cannula 6 and probe 66 may be configured apart from one another to allow therapeutic fluid delivery in one location and glucose sensing in another location.
  • bolus doses of therapeutic fluid may be recommended by the bolus advisor 10 based on determined BG trends received from the continuous glucose readings obtained from the sensing mechanism 1006.
  • the BG trends may be computed by a processor based on BG levels received from the CGM. The BG trend may indicate the change and/or the rate of change in BG levels.
  • therapeutic fluid e.g ., insulin
  • the sensing mechanism 1006 may operate in a closed-loop mode (i.e., automatic feedback with no need for user interaction) or in a semi-closed loop mode (or semi-open loop mode) (i.e., requiring user interaction to confirm instructions).
  • Some embodiments of the present disclosure may be configured to automatically modify basal delivery amounts according to continuous glucose readings obtained by sensing mechanism 1006.
  • bolus doses may be delivered by way of a user manually inputting (e.g ., an open loop mode) the bolus dose based on recommended amounts received from the bolus advisor 10.
  • FIG. 3 is an example of a flow diagram depicting a procedure for deriving a recommended bolus dose using the bolus advisor 10 according to some embodiments of the present disclosure.
  • an original bolus dose e.g., an initial bolus dose
  • a currently-available bolus dose recommendation tool e.g., a known formula or bolus selector feature
  • glucose level measurement e.g ., discrete BG level measurement
  • This bolus dose amount may be entered into the dispensing unit 1010 ( see FIGS. 2a and 2b ) using onboard switches and/or buttons 1004 and/or via remote control unit 1008.
  • the original bolus dose may be determined based on one or more parameters including without limitation IS, CIR, TBG, CBG, TC, GI, fat content of the meal, and RI.
  • the TC may be zero when the patient is not consuming (or intend to consume) food.
  • a user may input, via a user interface for example, one or more additional user parameters (e.g ., variables or conditions) into the dispensing unit 1010, according to some embodiments.
  • these parameters may include one or more BG trends (as provided by a CGM, for example), physical activity levels, indicators as to the presence of an illness, body temperature values, emotional stress levels and/or any other suitable parameters relating to the user.
  • These parameters may be programmed into the dispensing unit 1010 ( see FIGS. 2a and 2b ) using onboard switches and/or buttons 1004 and/or via remote control unit 1008.
  • the one or more additional user parameters may be transmitted to the dispensing unit 1010.
  • the CGM unit may transmit BG trend(s) to the bolus advisor.
  • each parameter programmed into dispensing unit 1010 may be associated with a multiplier value (MV).
  • MV multiplier value
  • the correlation between each specific parameter and corresponding MV may be performed by the bolus advisor 10 using one or more of matching tables, mathematical correlation or calculation, for example.
  • the bolus advisor 10 may operate in conjunction with a processor or controller contained within dispensing unit 1010 or remote control unit 1008 and also memory contained with dispensing unit 1010 or remote control unit 1008.
  • the bolus advisor 10 may then determine (e.g ., calculate) and output a recommended bolus dose as a function of the different multiplier values (MVs) and the original bolus dose from step 301.
  • the bolus advisor 10 may provide a notification to the user via a suitable notification means (e.g., a graphic display, beeper, buzzer or vibrator) regarding the recommended bolus dose.
  • FIG. 4 is an example of a flow diagram depicting a procedure, according to some embodiments of the present disclosure, for deriving a recommended bolus dose using the bolus advisor 10.
  • the recommended bolus dose may depend on a single additional parameter, such as the BG trend of a user, as exemplified in FIG. 4 .
  • a user's IS, CIR, TBG, CBG, TC and RI values are provided to calculate an initial bolus dose (e.g. , original bolus dose) in accordance with a known formula or a bolus selector feature. In some embodiments, one or more of the values may be zero.
  • the formula use in the exemplary procedure in FIG. 4 is shown at step 401.
  • an initial bolus dose of 2.5U is calculated based on the provided user parameters (i.e., IS, CIR, TBG, CBG, TC and RI) and the chosen formula.
  • Other formulas or means for determining a bolus dose may be used.
  • a BG trend parameter is provided by a CGM.
  • the BG level is increasing at a rate of 1 to 2 (mg/dL)/min.
  • This rate may be graphically represented on a display ( e.g., of the dispensing unit 1010 and/or remote control unit 1008), by an arrow pointing in the 2 o'clock direction.
  • the devices and/or systems of the present disclosure may be coupled to a CGM and have a memory configured to store BG level measurements and/or BG trends, and a processor configured to assess the continuous blood glucose concentration measurements and identify trends (e.g ., increases and/or decreases) in BG levels.
  • the BG trend parameter may be correlated with a multiplier value (MV) of 1.3, which may correlate with the given BG trend of blood glucose concentration increasing at a rate graphically depicted by an arrow pointing in the 2 o'clock direction.
  • each BG trend vector (or range of BG trend vectors) may be represented by a certain multiplier value (MV) that correlates the magnitude of a particular user parameter to a relative scale.
  • MV multiplier value
  • the multiplier value (MV) when a BG trend parameter is down, the multiplier value (MV) will be less than about 1, as shown directly above. Conversely, in some embodiments, if a BG trend parameter is up, the multiplier value (MV) will be larger than about 1. If a BG trend parameter is fairly constant (i.e., no change in blood glucose concentration), the MV would be about 1.
  • a recommended bolus dose is calculated and provided by the bolus advisor 10.
  • the recommended bolus dose may equal the multiplier value (MV) multiplied against the initial bolus dose of 2.5U from step 401, i.e. a bolus dose of 3.25U (1.3*2.5).
  • Embodiments of the present disclosure may be configured to use the bolus advisor to derive recommended bolus doses by multiplying an original bolus dose (e.g ., initial bolus dose) amount by the multiplier values (MV) of one or more BG trend parameters.
  • the original bolus dose may be determined by the user by direct estimation of TC, by a known formula for calculating a bolus dose or by a bolus selector feature (for example).
  • the recommended bolus dose may be smaller than the original bolus dose if the BG trend indicates that the blood glucose level is going down or falling. In further embodiments, the recommended bolus dose may be higher than the original bolus dose if the BG trend indicates that the blood glucose level is going up or rising. In some embodiments, the recommended bolus dose may be substantially equal to the original bolus dose if the BG trend indicates a substantially constant level of the blood glucose level.
  • Embodiments of the present disclosure may be directed to determining a recommended bolus dose based on CBG and BG trend(s). For example, if the CBG is normal (e.g ., substantially equals the TBG or is within a normal range) and a BG trend is increasing, the bolus advisor 10 may determine a recommended bolus dose according to the rising slope.
  • CBG is normal (e.g ., substantially equals the TBG or is within a normal range) and a BG trend is increasing
  • the bolus advisor 10 may determine a recommended bolus dose according to the rising slope.
  • the bolus advisor 10 may determine the amount of fluid to be delivered via a bolus dose (e.g., a correction bolus or meal bolus) according to the CBG, BG trend or any other relevant parameters, including without limitation, IS, CIR, TBG, TC, GI, fat content of the meal, RI, physical activity level, emotional stress level, blood ketones level and/or trend, blood pH level and/or trend, presence of an illness and/or menstruation or body temperature.
  • the bolus advisor 10 may determine (and/or recommend) a larger bolus dose when the BG trend is increasing compared to when the BG trend is constant.
  • the bolus advisor 10 may determine (and/or recommend) a smaller bolus dose when the BG trend is decreasing compared to when the BG trend is constant.
  • the bolus advisor 10 may adjust the bolus timing (i.e., the point in time at which bolus dose delivery is initiated) and/or duration (i.e., the distribution over time of the bolus dose) based on one or more of the following parameters: IS, CIR, TBG, CBG, BG trend, TC, GI, fat content of the meal, RI, physical activity level, emotional stress level, blood ketones level and/or trend, blood pH level and/or trend, presence of an illness and/or menstruation or body temperature.
  • the bolus timing i.e., the point in time at which bolus dose delivery is initiated
  • duration i.e., the distribution over time of the bolus dose
  • the bolus advisor 10 may control the dispensing unit 1010 to prolong the delivery time duration of the bolus dose, shorten the delivery time duration, delay the delivery or distribute the delivery dose unequally across the delivery time duration.
  • the bolus advisor 10 may determine a bolus dose according to a known formula or a bolus selector feature and determine the delivery timing and/or duration based, at least in part, on the BG trend.
  • the bolus advisor 10 may determine (and/or recommend) to delay the delivery of a meal bolus dose if the CBG is low and the BG trend indicates that the BG level is rising. In some embodiments, the bolus advisor 10 may determine (and/or recommend) to shorten the delivery duration of a bolus dose (e.g., a correction bolus or a meal bolus) if the CBG is high and the BG trend indicates that the BG level is increasing.
  • a bolus dose e.g., a correction bolus or a meal bolus
  • the bolus advisor 10 may determine (and/or recommend) to distribute a meal bolus dose unequally if the CBG is normal and the BG trend is increasing, to first counteract both the rising BG level and the meal TC and later to counteract only the TC (depending on the contents of the meal, for example).
  • FIG. 5 is an example of a flow diagram depicting a procedure, according to some embodiments of the present disclosure, for deriving a recommended bolus dose using the bolus advisor 10.
  • the recommended bolus dose may depend on a single additional parameter, such as a user's physical activity level, as shown in FIG. 5 .
  • a user's IS, CIR, TBG, CBG, TC and RI values are provided to calculate an initial bolus dose in accordance with a known formula or a bolus selector feature.
  • the formula used in the exemplary procedure in FIG. 5 is shown at step 501.
  • an initial bolus dose of 2.5U is calculated based on the provided user parameters (i.e., IS, CIR, TBG, CBG, TC and RI) and the chosen formula.
  • a physical activity level parameter is inputted by the user, e.g., a "High" physical activity level designation.
  • this physical activity level parameter may be correlated by the bolus advisor with a multiplier value (MV).
  • MV multiplier value
  • a value of 0.5 may correlate to the given physical activity level designation of "High.”
  • the bolus advisor may have assigned an MV of 0.8, for example, to the parameter.
  • a recommended bolus dose is calculated and output by the bolus advisor.
  • the recommended bolus dose may equal the multiplier value (MV) multiplied against the initial bolus dose from step 501, i.e. a bolus dose of 1.25U (0.5*2.5).
  • user parameters may be assigned an absolute value ("AV") of a bolus dose that may be added or subtracted from the initial bolus dose.
  • AV may be a constant value.
  • the AV may be correlated to and/or dependent upon other parameters, such as for example CBG, TBG, and BG trend.
  • the AV and/or MV may be also dependent on time (i.e., vary with time) according to a predetermined pattern or mathematical function, or correlated to at least one parameter.
  • one or more parameters may be assigned an absolute value (AV) of an initial bolus dose and one or more parameters may be assigned a multiplier value (MV).
  • a BG trend parameter may be assigned an absolute value (AV) and added to the initial bolus dose and a physical activity level parameter may be assigned a multiplier value (MV) and multiplied against the remainder of the formula as shown below to derive a recommended bolus dose:
  • AV absolute value
  • MV multiplier value
  • each BG trend vector may be represented by a certain multiplier value (MV).
  • the absolute value of the AV parameter may be subtracted from the original bolus dose (as less insulin is required). In some arrangements, if a BG trend parameter is up, the AV may be added (as more insulin is required). In some embodiments, if a BG trend is constant (i.e., no change in blood glucose concentration), the AV will be 0.
  • Arrangements of the present disclosure may recommend a bolus dose by adding and/or subtracting the AV of a BG trend to and/or from, respectively, the initial bolus dose amount provided by a user's estimation of TC or by a known formula.
  • a recommended bolus dose may then be derived based on one or more additional parameters input into the dispensing unit 1010 and/or system 1000 by the user by assigning an absolute value (AV) to each additional parameter to correlate each parameter to a relative magnitude. Accordingly, the recommended bolus dose may be determined by adding or subtracting these AV's from the original bolus dose.
  • AV absolute value
  • a recommended bolus dose may be calculated using one or more of the abovementioned parameters and associated AVs.
  • the "Original Bolus Dose" in the formula represents the bolus dose as provided by a known formula, for example.
  • each parameter may influence the recommended bolus dose differently, so that a weighted average of AV may be provided rather than a simple mean.
  • Various embodiments of the subject matter described herein can be realized in digital electronic circuitry, integrated circuitry, specially designed ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include implementation in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.
  • ASICs application specific integrated circuits
  • the subject matter described herein can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube), LCD (liquid crystal display) monitor, or other display device) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user may provide input to the computer.
  • a display device e.g., a CRT (cathode ray tube), LCD (liquid crystal display) monitor, or other display device
  • a keyboard and a pointing device e.g., a mouse or a trackball
  • Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g ., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
  • the subject matter described herein can be implemented in a computing system that includes a back-end component (e.g ., as a data server), or that includes a middleware component (e.g ., an application server), or that includes a front-end component (e.g., a client computer having a graphical user interface or a Web browser through which a user may interact with an implementation of the subject matter described herein), or any combination of such back-end, middleware, or front-end components.
  • the components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN”), a wide area network (“WAN”), and the Internet.
  • LAN local area network
  • WAN wide area network
  • the Internet the global information network
  • the computing system may include clients and servers.
  • a client and server are generally remote from each other and typically interact through a communication network.
  • the relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
  • Some embodiments of the present disclosure preferably implement the bolus advisor 10 via software operated on a processor contained in a remote control device of an insulin dispensing system and/or a processor contained in an insulin dispensing device being part of an insulin dispensing system.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Vascular Medicine (AREA)
  • Medicinal Chemistry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Chemical & Material Sciences (AREA)
  • Hematology (AREA)
  • Anesthesiology (AREA)
  • Diabetes (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Emergency Medicine (AREA)
  • Optics & Photonics (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Fluid Mechanics (AREA)
  • Infusion, Injection, And Reservoir Apparatuses (AREA)

Claims (14)

  1. Système d'administration de fluide (1000) pour administrer une dose grande de fluide thérapeutique dans le corps d'un utilisateur, le système comprenant :
    une pompe (1005) pour administrer le fluide thérapeutique dans le corps ; et
    au moins un processeur (10) incluant des instructions opérant sur lui, le processeur (10) étant configuré pour :
    recevoir un taux de glycémie actuel de l'utilisateur ;
    recevoir une tendance glycémique de l'utilisateur, incluant une direction et/ou vitesse de changement de taux de glycémie de l'utilisateur ;
    recevoir un ou plusieurs premiers paramètres supplémentaires relatifs à l'utilisateur ;
    recevoir un ou plusieurs deuxièmes paramètres supplémentaires relatifs à l'utilisateur, le ou les deuxièmes paramètres supplémentaires étant sélectionnés dans un groupe comprenant : niveau d'activité physique, niveau de stress émotionnel, niveau et/ou tendance des cétones sanguines, niveau et/ou tendance du pH sanguin, présence d'une maladie et/ou de menstruation et température corporelle ; et
    déterminer une dose grande en fonction de la glycémie actuelle, de la tendance glycémique, du ou des premiers paramètres supplémentaires relatifs à l'utilisateur et du ou des deuxièmes paramètres supplémentaires, de telle sorte que l'administration de la dose grande à l'utilisateur compense un changement de taux de glycémie de l'utilisateur
    dans lequel le processeur (10) inclut des instructions configurées pour :
    déterminer une dose grande initiale en fonction du ou des premiers paramètres supplémentaires relatifs à l'utilisateur et à la glycémie actuelle ; et
    déterminer la dose grande en fonction de la dose grande initiale multipliée par une ou plusieurs valeurs multiplicatrices ou une moyenne d'une pluralité de valeurs multiplicatrices, la ou chaque valeur multiplicatrice représentant une grandeur d'un paramètre d'utilisateur particulier sur une échelle relative, la ou les valeurs multiplicatrices comprenant a moins l'une de :
    une valeur multiplicatrice en corrélation avec la tendance glycémique ; et
    une valeur multiplicatrice en corrélation avec au moins l'un du ou des deuxièmes paramètres.
  2. Système (1000) selon la revendication 1, dans lequel le ou les premiers paramètres supplémentaires relatifs à l'utilisateur sont sélectionnés dans un groupe comprenant : sensibilité à l'insuline, rapport glucide-insuline, glycémie cible, quantité de glucide à consommer et insuline résiduelle.
  3. Système (1000) selon la revendication 2, dans lequel le ou les paramètres relatifs à l'utilisateur sont en outre sélectionnés dans un groupe comprenant : indice glycémique, teneur en matière grasse du repas et teneur en fibre du repas.
  4. Système (1000) selon la revendication 1, comprenant en outre un contrôleur de glucose en continu (1007), (66, 1006) pour mesurer la glycémie actuelle et/ou la tendance glycémique, ou une interface utilisateur (1004) pour entrer au moins l'un du ou des premiers paramètres supplémentaires relatifs à l'utilisateur, la glycémie actuelle et la tendance glycémique.
  5. Système (1000) selon la revendication 1, comprenant en outre une mémoire enregistrant la ou les valeurs multiplicatrices en corrélation avec la tendance glycémique, le processeur (10) incluant des instructions configurées pour extraire de la mémoire la ou les valeurs multiplicatrices.
  6. Système (1000) selon la revendication 1, dans lequel le processeur (10) inclut en outre des instructions configurées pour :
    déterminer la dose grande en fonction de la dose grande initiale, de la ou des valeurs multiplicatrices et d'une ou plusieurs valeurs absolues.
  7. Système (1000) selon la revendication 7, dans lequel le processeur (10) inclut des instructions configurées pour ajouter ou soustraire la ou les valeurs absolues à ou de la dose grande initiale.
  8. Système (1000) selon la revendication 7, comprenant en outre une mémoire enregistrant une ou plusieurs des valeurs absolues en corrélation avec la tendance glycémique, dans lequel le processeur (10) inclut des instructions configurées pour extraire de la mémoire la ou les valeurs absolues.
  9. Système (1000) selon la revendication 1, dans lequel :
    la ou les valeurs multiplicatrices sont plus grandes que 1 lorsque la tendance glycémique augmente ;
    la ou les valeurs multiplicatrices sont inférieures à 1 lorsque la tendance glycémique diminue ; et
    la ou les valeurs multiplicatrices sont essentiellement égales à 1 lorsque le niveau de glycémie de l'utilisateur est essentiellement constant.
  10. Système (1000) selon la revendication 7, dans lequel :
    la ou les valeurs absolues sont ajoutées quand la tendance glycémique augmente ;
    une ou plusieurs valeurs absolues sont soustraites lorsque la tendance glycémique diminue, et
    la ou les valeurs absolues égalent essentiellement 0 lorsque le niveau glycémique de l'utilisateur est essentiellement constant.
  11. Système (1000) selon la revendication 1, dans lequel la ou les valeurs multiplicatrices sont déterminées sur la base d'une fonction mathématique qui met en corrélation la tendance glycémique avec la ou les valeurs multiplicatrices.
  12. Système (1000) selon la revendication 7, dans lequel la ou les valeurs absolues sont déterminées sur la base d'une fonction mathématique qui met en corrélation la tendance glycémique avec la ou les valeurs absolues.
  13. Système (1000) selon la revendication 1 comprenant en outre un moyen de notification pour donner à l'utilisateur une notification concernant la dose grande.
  14. Système (1000) selon la revendication 1, dans lequel le processeur (10) inclut des instructions configurées pour ajuster un moment et/ou une durée associés avec la dose grande en fonction de la tendance glycémique.
EP10816796.6A 2009-09-18 2010-09-16 Dispositifs, systèmes et procédés pour quantifier des doses de bolus en fonction de paramètres d'utilisateur Active EP2477613B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US24386009P 2009-09-18 2009-09-18
PCT/IL2010/000757 WO2011033509A1 (fr) 2009-09-18 2010-09-16 Dispositifs, systèmes et procédés pour quantifier des doses de bolus en fonction de paramètres d'utilisateur

Publications (3)

Publication Number Publication Date
EP2477613A1 EP2477613A1 (fr) 2012-07-25
EP2477613A4 EP2477613A4 (fr) 2013-09-18
EP2477613B1 true EP2477613B1 (fr) 2017-10-18

Family

ID=43758172

Family Applications (1)

Application Number Title Priority Date Filing Date
EP10816796.6A Active EP2477613B1 (fr) 2009-09-18 2010-09-16 Dispositifs, systèmes et procédés pour quantifier des doses de bolus en fonction de paramètres d'utilisateur

Country Status (7)

Country Link
US (1) US9919105B2 (fr)
EP (1) EP2477613B1 (fr)
CN (2) CN107252508A (fr)
AU (1) AU2010296886A1 (fr)
DK (1) DK2477613T3 (fr)
ES (1) ES2647063T3 (fr)
WO (1) WO2011033509A1 (fr)

Families Citing this family (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7959598B2 (en) 2008-08-20 2011-06-14 Asante Solutions, Inc. Infusion pump systems and methods
US9457145B2 (en) 2010-01-20 2016-10-04 Roche Diabetes Care, Inc. Method and device for improving glycemic control
ES2755497T3 (es) 2010-10-31 2020-04-22 Univ Boston Sistema de control de glucosa en sangre
US9136939B2 (en) 2011-12-29 2015-09-15 Roche Diabetes Care, Inc. Graphical user interface pertaining to a bolus calculator residing on a handheld diabetes management device
US9171343B1 (en) * 2012-09-11 2015-10-27 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US9833191B2 (en) 2012-11-07 2017-12-05 Bigfoot Biomedical, Inc. Computer-based diabetes management
US9561324B2 (en) 2013-07-19 2017-02-07 Bigfoot Biomedical, Inc. Infusion pump system and method
US20190246964A1 (en) * 2013-10-10 2019-08-15 Michael Zhang Combined Non Invasive Blood Glucose Monitor Device
WO2015073211A1 (fr) * 2013-11-14 2015-05-21 Regents Of The University Of California Détecteur d'augmentation du taux de glucose : un module de détection pour les repas pour un système de surveillance de la santé
US10569015B2 (en) 2013-12-02 2020-02-25 Bigfoot Biomedical, Inc. Infusion pump system and method
CA2938078C (fr) 2014-01-31 2019-06-11 Trustees Of Boston University Regulation de glucose hors ligne sur la base de periodes precedentes
CA2950966C (fr) 2014-06-10 2019-07-09 Bigfoot Biomedical, Inc. Systemes et methodes d'administration d'insuline
US9878097B2 (en) 2015-04-29 2018-01-30 Bigfoot Biomedical, Inc. Operating an infusion pump system
WO2017027459A1 (fr) 2015-08-07 2017-02-16 Trustees Of Boston University Système de régulation de glucose à adaptation automatique de cible de glucose
AU2016385454B2 (en) 2016-01-05 2021-12-16 Bigfoot Biomedical, Inc. Operating multi-modal medicine delivery systems
US10449294B1 (en) * 2016-01-05 2019-10-22 Bigfoot Biomedical, Inc. Operating an infusion pump system
US10610643B2 (en) 2016-01-14 2020-04-07 Bigfoot Biomedical, Inc. Occlusion resolution in medication delivery devices, systems, and methods
GB201614676D0 (en) * 2016-08-30 2016-10-12 Imp Innovations Automatic closed-loop glucose control with an adaptive meal bolus calculator
USD853583S1 (en) 2017-03-29 2019-07-09 Becton, Dickinson And Company Hand-held device housing
US11497851B2 (en) 2017-03-31 2022-11-15 Lifescan Ip Holdings, Llc Maintaining maximum dosing limits for closed loop insulin management systems
WO2018204568A1 (fr) 2017-05-05 2018-11-08 Eli Lilly And Company Régulation en boucle fermée de glucose physiologique
WO2019125932A1 (fr) 2017-12-21 2019-06-27 Eli Lilly And Company Régulation en boucle fermée de glucose physiologique
WO2019246381A1 (fr) 2018-06-22 2019-12-26 Eli Lilly And Company Systèmes, procédés et dispositifs d'administration d'insuline et de pramlintide
US11957876B2 (en) 2019-07-16 2024-04-16 Beta Bionics, Inc. Glucose control system with automated backup therapy protocol generation
CA3146872A1 (fr) 2019-07-16 2021-01-21 Beta Bionics, Inc. Systeme de controle de la glycemie
DE112020003392T5 (de) 2019-07-16 2022-05-19 Beta Bionics, Inc. Blutzuckerkontrollsystem
SI4037666T1 (sl) 2020-12-08 2024-09-30 Ruminant Biotech Corp Limited Izboljšave naprav in postopkov za dostavo snovi živalim

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030060753A1 (en) * 2001-09-07 2003-03-27 Starkweather Timothy J. System and method for providing closed loop infusion formulation delivery

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6554798B1 (en) 1998-08-18 2003-04-29 Medtronic Minimed, Inc. External infusion device with remote programming, bolus estimator and/or vibration alarm capabilities
US7404796B2 (en) * 2004-03-01 2008-07-29 Becton Dickinson And Company System for determining insulin dose using carbohydrate to insulin ratio and insulin sensitivity factor
WO2005041022A1 (fr) 2003-10-24 2005-05-06 Judy Singley Procede, systeme et programme informatique permettant de calculer le rapport hydrates de carbone/insuline sur la base du poids d'un aliment
WO2005113036A1 (fr) 2004-05-13 2005-12-01 The Regents Of The University Of California Procede et dispositif de regulation du glucose et de dosage de l'insuline pour des sujets diabetiques
US7547281B2 (en) * 2005-02-01 2009-06-16 Medtronic Minimed, Inc. Algorithm sensor augmented bolus estimator for semi-closed loop infusion system
US7935104B2 (en) 2005-11-07 2011-05-03 Medingo, Ltd. Systems and methods for sustained medical infusion and devices related thereto
WO2007093981A2 (fr) 2006-02-15 2007-08-23 Medingo Ltd. Systèmes et procédés de détection d'un analyte et d'administration d'un fluide thérapeutique
US8548544B2 (en) * 2006-06-19 2013-10-01 Dose Safety System, method and article for controlling the dispensing of insulin
US8206296B2 (en) 2006-08-07 2012-06-26 Abbott Diabetes Care Inc. Method and system for providing integrated analyte monitoring and infusion system therapy management
US20080172031A1 (en) * 2006-10-17 2008-07-17 Blomquist Michael L Insulin pump having correction factors
DE102006059019A1 (de) * 2006-12-14 2008-06-19 Endocrine Technologies (Et) Gmbh Einrichtung zur computergesteuerten Infusion von Arzneistoffen mit zeitdiskreter Messwertgewinnung in einem Regelkreis
EP2601883A1 (fr) 2006-12-22 2013-06-12 Medingo Ltd. Distribution de fluide avec détection électrochimique in vivo d'analytes
US10154804B2 (en) 2007-01-31 2018-12-18 Medtronic Minimed, Inc. Model predictive method and system for controlling and supervising insulin infusion
WO2008101172A2 (fr) 2007-02-16 2008-08-21 Ohio University Système et procédé de prise en charge du diabète
US20080228056A1 (en) * 2007-03-13 2008-09-18 Michael Blomquist Basal rate testing using frequent blood glucose input
WO2008114254A1 (fr) 2007-03-19 2008-09-25 Medingo Ltd. Procédé pour sélectionner des doses de charge en bolus dans un dispositif d'administration de médicament
DK2174128T3 (en) 2007-06-20 2016-06-06 Hoffmann La Roche METHOD AND DEVICE FOR EVALUATING carbohydrate-TO-INSULIN RATIO
EP4098177A1 (fr) * 2007-10-09 2022-12-07 DexCom, Inc. Système d'administration d'insuline intégré avec un capteur de glucose en continu
CN101925372B (zh) 2007-11-21 2013-09-11 梅丁格有限公司 分析物监测和流体分配系统
WO2009075925A1 (fr) * 2007-12-13 2009-06-18 Shaya Steven A Procédé et appareil destinés à calculer les facteurs de sensibilité intervenant dans la glycémie chez les diabétiques
JP5506780B2 (ja) 2008-04-09 2014-05-28 エフ．ホフマン−ラ ロシュ アーゲー 流体を送り出すためのシステム、装置および方法
JP2011518634A (ja) 2008-04-29 2011-06-30 メディンゴ・リミテッド 薬物送達装置においてボーラス投与量及びボーラス送達パターンを選択するための方法

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030060753A1 (en) * 2001-09-07 2003-03-27 Starkweather Timothy J. System and method for providing closed loop infusion formulation delivery

Also Published As

Publication number Publication date
EP2477613A1 (fr) 2012-07-25
US9919105B2 (en) 2018-03-20
US20120283694A1 (en) 2012-11-08
CN102630159A (zh) 2012-08-08
EP2477613A4 (fr) 2013-09-18
ES2647063T3 (es) 2017-12-19
DK2477613T3 (da) 2017-11-13
AU2010296886A1 (en) 2012-04-12
WO2011033509A1 (fr) 2011-03-24
CN107252508A (zh) 2017-10-17

Similar Documents

Publication Publication Date Title
EP2477613B1 (fr) Dispositifs, systèmes et procédés pour quantifier des doses de bolus en fonction de paramètres d'utilisateur
US9457145B2 (en) Method and device for improving glycemic control
US8845613B2 (en) Bolus dose determination for a therapeutic fluid dispensing system
EP2475356B1 (fr) Dispositifs, systèmes et procédés de réglage de paramètres d'adminsitration de fluides
US9872959B2 (en) Method system and device for assessing insulin sensitivity
US8480649B2 (en) Method for selecting bolus doses and bolus delivery patterns in a drug delivery device
US8454510B2 (en) Method and device for assessing carbohydrate-to-insulin ratio
US20080234663A1 (en) Method for Selecting Bolus Doses in a Drug Delivery System
US8734383B2 (en) Method and device for improving glycemic control based on residual insulin
CN110869075A (zh) 人工胰岛系统中的胰岛素残余活性含量计算
US20110224646A1 (en) Methods and Devices for Tailoring a Bolus Delivery Pattern
US8911423B2 (en) Systems and methods for glycemic control during pump disconnection

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20120326

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO SE SI SK SM TR

DAX Request for extension of the european patent (deleted)
A4 Supplementary search report drawn up and despatched

Effective date: 20130816

RIC1 Information provided on ipc code assigned before grant

Ipc: A61M 5/172 20060101ALI20130809BHEP

Ipc: A61B 5/00 20060101ALI20130809BHEP

Ipc: G06F 19/00 20110101ALI20130809BHEP

Ipc: A61B 5/145 20060101ALI20130809BHEP

Ipc: A61K 9/22 20060101AFI20130809BHEP

RAP1 Party data changed (applicant data changed or rights of an application transferred)

Owner name: ROCHE DIAGNOSTICS GMBH

Owner name: F.HOFFMANN-LA ROCHE AG

17Q First examination report despatched

Effective date: 20140331

RAP1 Party data changed (applicant data changed or rights of an application transferred)

Owner name: ROCHE DIABETES CARE GMBH

Owner name: F.HOFFMANN-LA ROCHE AG

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

INTG Intention to grant announced

Effective date: 20170613

GRAS Grant fee paid

Free format text: ORIGINAL CODE: EPIDOSNIGR3

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO SE SI SK SM TR

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

REG Reference to a national code

Ref country code: CH

Ref legal event code: EP

REG Reference to a national code

Ref country code: DK

Ref legal event code: T3

Effective date: 20171108

REG Reference to a national code

Ref country code: AT

Ref legal event code: REF

Ref document number: 937322

Country of ref document: AT

Kind code of ref document: T

Effective date: 20171115

Ref country code: NL

Ref legal event code: FP

Ref country code: IE

Ref legal event code: FG4D

REG Reference to a national code

Ref country code: DE

Ref legal event code: R096

Ref document number: 602010046090

Country of ref document: DE

REG Reference to a national code

Ref country code: ES

Ref legal event code: FG2A

Ref document number: 2647063

Country of ref document: ES

Kind code of ref document: T3

Effective date: 20171219

REG Reference to a national code

Ref country code: LT

Ref legal event code: MG4D

REG Reference to a national code

Ref country code: AT

Ref legal event code: MK05

Ref document number: 937322

Country of ref document: AT

Kind code of ref document: T

Effective date: 20171018

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

Ref country code: NO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20180118

Ref country code: FI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

Ref country code: LT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: HR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20180119

Ref country code: IS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20180218

Ref country code: AT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

Ref country code: LV

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

Ref country code: BG

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20180118

REG Reference to a national code

Ref country code: DE

Ref legal event code: R097

Ref document number: 602010046090

Country of ref document: DE

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: EE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

Ref country code: SK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

REG Reference to a national code

Ref country code: FR

Ref legal event code: PLFP

Year of fee payment: 9

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SM

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

Ref country code: RO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

Ref country code: PL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

26N No opposition filed

Effective date: 20180719

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MC

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

REG Reference to a national code

Ref country code: CH

Ref legal event code: PL

REG Reference to a national code

Ref country code: BE

Ref legal event code: MM

Effective date: 20180930

REG Reference to a national code

Ref country code: IE

Ref legal event code: MM4A

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LU

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20180916

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20180916

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: CH

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20180930

Ref country code: LI

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20180930

Ref country code: BE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20180930

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20180916

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: TR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: HU

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT; INVALID AB INITIO

Effective date: 20100916

Ref country code: PT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MK

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20171018

Ref country code: CY

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: AL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20171018

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: IT

Payment date: 20230822

Year of fee payment: 14

Ref country code: CZ

Payment date: 20230825

Year of fee payment: 14

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: ES

Payment date: 20231002

Year of fee payment: 14

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: NL

Payment date: 20240820

Year of fee payment: 15

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: DE

Payment date: 20240820

Year of fee payment: 15

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: DK

Payment date: 20240820

Year of fee payment: 15

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: GB

Payment date: 20240820

Year of fee payment: 15

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: FR

Payment date: 20240820

Year of fee payment: 15